… Thus, this paper extends the LSTM network with attention mechanism to locate the informative
feature segments with degradation characteristics of the machining tools. Thereby more …

… variational mode decomposition (IVMD) with the temporal convolutional network-gated
recurrent unit (TCN-GRU) architecture, enriched with a multi-head attention mechanism. By …

… decomposition approach and deep learning algorithm with an attention mechanism is …
Multivariate empirical mode decomposition is used to decompose the denoised series into …

… based on variational mode decomposition, integrated particle … -attention mechanism. Firstly,
the capacity data of lithium ion battery is decomposed by variational mode decomposition to …

… Attention Mechanism This study introduces the attention mechanism based on LSTM to …
The attention mechanism comes from the human learning process, in which a certain part of our …

… decomposition (including denoising) and different outputs weight into consideration, an
improved variational mode decomposition (IVMD) and self-attention mechanism (… decomposition …

… a novel EMD-GRU-Attention (EGA) model through the hybridization of the empirical mode
decomposition (EMD), gated recurrent unit (GRU), and attention mechanism is proposed. First, …

… mode decomposition (EEMD) is firstly applied to remove the noise in the original wind speed
data. Secondly, we build a novel deep learning model based on the attention mechanism …

… based on variational mode decomposition (VMD) and an attention mechanism, in … mode
number k of the VMD is determined by the ratio of residual energy following decomposition…

… was then mapped into a patch by the encoder, and an attention mechanism was employed
to focus on the mode that was most relevant to the fault characteristic frequency. The central …